Dietary patterns and diet quality during pregnancy and low birthweight: The PRINCESA cohort

Ancira-Moreno, Mónica; OʼNeill, Marie S.; Rivera‐Dommarco, Juan; Batis, Carolina; Rodríguez‐Ramírez, Sonia; Sánchez, Brisa N.; Castillo-Castrejón, Marisol; Vadillo-Ortega, Felipe

doi:10.1111/mcn.12972

Cited by 31 publications

(32 citation statements)

References 45 publications

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“…Meanwhile, the limitation is that because this is a cross-sectional study, the authors cannot confirm a temporal relationship between exposure and outcome variables. Another limitation is that it did not investigate some of the known risk factors from previous studies for LBW, including dietary and nutritional factors 42,43 , genetic factors, and [44][45][46] , as well as pollution and environmental factors 47,48 . This limitation is more due to limited secondary data from the 2017 IDHS.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Socioeconomic Disparities of Low Birth Weight in Rural Indonesia

Laksono

Wulandari

Matahari

2020

Preprint

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Background: Poverty is estimated to increase a mother's chances of giving birth to a low birth weight baby (LBW). Objective: This study aimed to analyze the socioeconomic disparities of LBW in rural Indonesia.Methods: Mother aged 15-49 years old who had given birth in the last 5 years in rural Indonesia was used as the unit of analysis. With stratification and multistage random sampling found 19,283 mothers were sampled. The variables analyzed included LBW, socioeconomic, age, marital, education, employment, and antenatal care (ANC). The binary logistic regression test was used at the final stage to determine the existence of disparities.Results: The results show that the mother with the poorer wealth status was 0.686 times more likely than the poorest mother to give birth to an LBW baby. Mothers with middle wealth status were 0.688 times more likely than the poorest mothers to give birth to LBW babies. Mothers with richer wealth status were 0.621 times more likely than the poorest mothers to give birth to LBW babies. Finally, the richest mothers were 0.452 times more likely than the poorest mothers to give birth to LBW babies. The results of this analysis inform that the better the socioeconomic of mothers, the lower the likelihood of giving birth to LBW babies. Apart from socioeconomics, the analysis also found two other predictors of LBW in rural Indonesia, namely education level and ANC visits.Conclusion: It was concluded that there were socioeconomic disparities of LBW in rural Indonesia.

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Section: Strengths and Limitationsmentioning

confidence: 99%

Socioeconomic Disparities of Low Birth Weight in Rural Indonesia

Laksono

Wulandari

Matahari

2020

Preprint

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“…A posteriori dietary patterns, therefore, provide insight into dietary behaviors as they reflect on actual food or nutrient intake [ 21 ]. Although these two methods are regarded to provide complementary information with regard to the overall diet [ 21 ], only a few studies [ 22 , 23 , 24 ] have used both methods to explore the maternal diet during pregnancy. Furthermore, to our knowledge, all studies reporting on a posteriori dietary patterns during pregnancy used foods or food groups as variables to determine patterns.…”

Section: Introductionmentioning

confidence: 99%

A Priori and a Posteriori Dietary Patterns among Pregnant Women in Johannesburg, South Africa: The NuPED Study

et al. 2021

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Dietary pattern analyses allow assessment of the diet as a whole. Limited studies include both a priori and a posteriori dietary pattern analyses. This study aimed to explore the diet of pregnant women in urban South Africa through both a priori and a posteriori dietary pattern analyses and associated maternal and household factors. Dietary data were collected during early pregnancy using a quantified food frequency questionnaire from 250 pregnant women enrolled in the Nutrition During Pregnancy and Early Development (NuPED) cohort. A priori dietary patterns were determined using the Diet Quality Index-International (DQI-I), and a posteriori nutrient patterns using exploratory factor analysis. Based on the DQI-I, the study population followed a borderline low-quality diet. Three a posteriori nutrient patterns were identified: Pattern 1 “plant protein, iron, thiamine, and folic acid”; pattern 2 “animal protein, copper, vitamin A, and vitamin B12”; pattern 3 “fatty acids and sodium”. Pattern 1 was associated with higher dietary quality (p < 0.001), lower maternal educational level (p = 0.03) and socioeconomic status (p < 0.001). Pattern 3 was significantly associated with lower dietary quality. The low dietary quality among pregnant women residing in urban South Africa should be addressed to ensure optimal maternal and offspring health outcomes.

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“…This is similar to the findings from the Growing Up in Singapore Towards Healthy Outcomes Study [ 79 ] and the Infant Feeding Practices Study II [ 80 ]. However, few other studies have shown that higher adherence to a good quality diet during pregnancy is associated with lower risk of having a low birthweight baby [ 81 , 82 , 83 ]. These inconsistent results between studies can be attributed to the use of different diet-quality scores.…”

Section: Discussionmentioning

confidence: 99%

Maternal Diet Influences Fetal Growth but Not Fetal Kidney Volume in an Australian Indigenous Pregnancy Cohort

et al. 2021

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Suboptimal nutrition during pregnancy is recognised as a significant modifiable determinant in the development of chronic disease in offspring in later life. The current study aimed: (i) to assess the dietary intakes of pregnant Indigenous Australian women against national recommendations and (ii) to investigate the associations between maternal nutrition during pregnancy and the growth of the offspring, including kidney development in late gestation in the Gomeroi gaaynggal cohort (n = 103). Maternal dietary intake in the third trimester was assessed using the Australian Eating Survey Food Frequency Questionnaire. Estimated fetal weight (EFW) and kidney size were obtained by ultrasound. Birth weight was retrieved from hospital birth records. Of the five key nutrients for optimal reproductive health (folate, iron, calcium, zinc and fibre), the nutrients with the highest percentage of pregnant women achieving the nutrient reference values (NRVs) were zinc (75.7%) and folate (57.3%), whereas iron was the lowest. Only four people achieved all NRVs (folate, iron, calcium, zinc and fibre) important in pregnancy. Sodium and saturated fat intake exceeded recommended levels and diet quality was low, with a median score of 28 out of 73 points. After adjusting for smoking and pre-pregnancy body mass index, only maternal intake of retinol equivalents and the proportion of energy from nutrient-dense or energy-dense, nutrient-poor (EDNP) foods were associated with fetal growth. EFW decreased by 0.13 g and birth weight decreased by 0.24 g for every µg increase in maternal dietary retinol intake. Interestingly, EFW, but not actual birth weight, was positively associated with percentage energy from nutrient dense foods and negatively associated with percentage energy from EDNP foods. Dietary supplement usage was associated with increased birthweight, most significantly iron and folate supplementation. Current dietary intakes of pregnant Australian women from this cohort do not align with national guidelines. Furthermore, current findings show that maternal retinol intake and diet composition during pregnancy can influence fetal growth, but not fetal kidney growth in late gestation. Strategies that aim to support and optimise nutrient intakes of Indigenous pregnant women are urgently needed. Future studies with long-term follow-up of the children in the current cohort to assess renal damage and blood pressure are imperative.

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Dietary patterns and diet quality during pregnancy and low birthweight: The PRINCESA cohort

Cited by 31 publications

References 45 publications

Socioeconomic Disparities of Low Birth Weight in Rural Indonesia

Socioeconomic Disparities of Low Birth Weight in Rural Indonesia

A Priori and a Posteriori Dietary Patterns among Pregnant Women in Johannesburg, South Africa: The NuPED Study

Maternal Diet Influences Fetal Growth but Not Fetal Kidney Volume in an Australian Indigenous Pregnancy Cohort

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